activity
20222026
most citedPACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Value as Memory: Online Value-Guided Post-training for General Robot Policies

Wenye Yu, Yijin Chen, Kaiyi Xiong +7

Real-world post-training of generalist robot policies faces two challenges: partial observability makes action selection ambiguous, while offline post-training methods delay feedba…

cs.RO2026

X-Imitator: Spatial-Aware Imitation Learning via Bidirectional Action-Pose Interaction

Kai Xiong, Hongjie Fang, Lixin Yang +1

Effectively handling the interplay between spatial perception and action generation remains a critical bottleneck in robotic manipulation. Existing methods typically treat spatial…

cs.RO2026

GazeVLA: Learning Human Intention for Robotic Manipulation

Chengyang Li, Kaiyi Xiong, Yuan Xu +3

Embodied foundation models have achieved significant breakthroughs in robotic manipulation, yet they still depend heavily on large-scale robot demonstrations. Although recent works…

cs.CV2023★ 1 cited

PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments

Yang You, Kai Xiong, Zhening Yang +7

We introduce PACE (Pose Annotations in Cluttered Environments), a large-scale benchmark designed to advance the development and evaluation of pose estimation methods in cluttered s…

cs.CV2022

One-Shot General Object Localization

Yang You, Zhuochen Miao, Kai Xiong +2

This paper presents a general one-shot object localization algorithm called OneLoc. Current one-shot object localization or detection methods either rely on a slow exhaustive featu…